A fuzzy-based decision support system for ranking the delivery methods of mega projects. Issue 1 (5th March 2018)

• Record Type: Journal Article
• Authors: Al Nahyan, Moza Tahnoon; Hawas, Yaser E.; Raza, Mohsin; Aljassmi, Hamad; Maraqa, Munjed A.; Basheerudeen, Basil; Mohammad, Mohammad Sherif
• Is Part Of: International journal of managing projects in business. Volume 11:Issue 1(2018)
• Page Start: 122
• Page End: 143
• Publication Date: 2018-03-05
• Subjects: Project delivery methods -- Fuzzy logic -- Mega projects; Project management -- Periodicals; Electronic journals; 658.404
• DOI: 10.1108/IJMPB-06-2017-0055
• Languages: English
• ISSNs: 1753-8378

Abstract

Abstract : Purpose: The purpose of this paper is to present a framework to devise a system for ranking of traditional project delivery methods, regarding their suitability, against the varying levels of mega project attributes. Design/methodology/approach: The proposed system employs input and output interfaces and a granular (fuzzy rule base) component for estimating the subjective levels of risks, opportunities, and constraints and then mapping them to a decision matrix. A questionnaire has been designed (using the SurveyGizmo® platform) to collect the perceptions of the various project stakeholders and use them. A total of 127 stakeholders completed the survey form in full. Findings: The survey data were used to calibrate the fuzzy logic model of the granular component. The envisioned system computes, for each possible delivery method, an index that reflects the suitability (of the corresponding delivery method) on an ordinal scale. Originality/value: The devised decision support system is likely to lessen the dependency of "accurate decision" on "the experience of the decision-makers." It will also enable ranking the various project delivery methods based on the various project and stakeholder attributes that are likely to affect the project risks, opportunities and constraints.